Project description
Working on a cloud-native enterprise data platform hosted on Microsoft Azure, supporting large-scale data processing, storage, and analytics workloads. The platform provides a centralized foundation for data-driven applications and services, with a strong focus on scalability, reliability, automation, and operational excellence.
Compensation for NYC: 00 USD Gross per year based on your interview results.
Responsibilities
The role involves managing Kubernetes-based environments, developing automation and platform tooling in Python, implementing and optimizing GitLab CI/CD pipelines, and supporting Azure cloud infrastructure. Responsibilities include infrastructure automation, deployment standardization, monitoring and observability, performance optimization, and ensuring secure and reliable delivery of platform services in a highly regulated enterprise environment.
Skills
Must have
Python - Strong proficiency in Python for automation, scripting, infrastructure tooling, and building CI/CD utilities.
Kubernetes - Expert-level knowledge of Kubernetes including cluster management, Helm charts, service mesh (Istio), pod orchestration, troubleshooting, and production-grade deployments.
CI/CD - Hands-on experience designing, building, and maintaining end-to-end CI/CD pipelines with a focus on reliability and speed.
GitLab CI/CD - Deep expertise in GitLab pipelines, including multi-stage pipelines, templates, shared runners, artifacts, and pipeline-as-code best practices.
Azure Cloud - Solid knowledge of Azure services (AKS, Azure DevOps, Virtual Networks, IAM/RBAC, Storage, Key Vault, Monitor) with experience in cloud architecture and cost optimization.
Nice to have
Infrastructure as Code (Terraform)
Monitoring and observability (Prometheus, Grafana, Azure Monitor, ELK)
Shell scripting (Bash/PowerShell)
Networking fundamentals (DNS, load balancing, ingress controllers)
Incident management and on-call experience
Other
Languages
English: C1 Advanced
Seniority
Senior
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10335530
- Position Id: 39f9eabaa92050c508cf490d141a2ce6
- Posted 30+ days ago
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